A demo of the Spectral Biclustering algorithm
  • References/Python/scikit-learn/Examples/Biclustering

This example demonstrates how to generate a checkerboard dataset and bicluster it using the Spectral Biclustering algorithm. The data is

2025-01-10 15:47:30
Kernel Density Estimate of Species Distributions
  • References/Python/scikit-learn/Examples/Nearest Neighbors

This shows an example of a neighbors-based query (in particular a kernel density estimate) on geospatial data, using a Ball Tree built upon

2025-01-10 15:47:30
Linear and Quadratic Discriminant Analysis with confidence ellipsoid
  • References/Python/scikit-learn/Examples/Classification

Plot the confidence ellipsoids of each class and decision boundary print(__doc__)

2025-01-10 15:47:30
IsolationForest example
  • References/Python/scikit-learn/Examples/Ensemble methods

An example using IsolationForest for anomaly detection. The IsolationForest ?isolates? observations by randomly selecting a feature and then randomly selecting

2025-01-10 15:47:30
Principal components analysis
  • References/Python/scikit-learn/Examples/Decomposition

These figures aid in illustrating how a point cloud can be very flat in one direction?which is where PCA comes in to choose a direction that is not flat.

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Automatic Relevance Determination Regression
  • References/Python/scikit-learn/Examples/Generalized Linear Models

Fit regression model with Bayesian Ridge Regression. See

2025-01-10 15:47:30
Outlier detection on a real data set
  • References/Python/scikit-learn/Examples/Examples based on real world datasets

This example illustrates the need for robust covariance estimation on a real data set. It is useful both for outlier detection and for a better understanding

2025-01-10 15:47:30
Receiver Operating Characteristic with cross validation
  • References/Python/scikit-learn/Examples/Model Selection

Example of Receiver Operating Characteristic (ROC) metric to evaluate classifier output quality using cross-validation. ROC

2025-01-10 15:47:30
SGD: Penalties
  • References/Python/scikit-learn/Examples/Generalized Linear Models

Plot the contours of the three penalties. All of the above are supported by sklearn.linear_model.stochastic_gradient.

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Manifold learning on handwritten digits
  • References/Python/scikit-learn/Examples/Manifold learning

An illustration of various embeddings on the digits dataset. The RandomTreesEmbedding, from the

2025-01-10 15:47:30